Background: Schwann cells (SCs) can potentially transform into the repair-related cell phenotype after injury, which promote nerve repair. Ferroptosis occurs in SCs of injured tissues, causing damage to...

The study aimed to predict expression of pituitary transcription factor 1 (PIT1) in adenomas using habitat, intra-tumoral and peri-tumoral radiomics models. A total 129 patients with adenoma (training set, n = 103; test 26) were retrospectively enrolled. 12, 18, 14, 13, 14 features selected from the ROIintra, ROIintra+peri (ROIintra+2mm, ROIintra+4mm, ROIintra+6mm), ROIhabitat, respectively. Then, three machine learning algorithms employed develop radiomic models, including logistic...

Hypertrophic cardiomyopathy (HCM) is an autosomal dominant disorder characterized by asymmetric hypertrophy of the ventricles and ventricular septum, leading to subsequent left outflow tract (LVOT) obstruction diastolic dysfunction. Typically, patients with HCM experience sinus tachycardia arrest relatively infrequently. In addition, concurrent occurrence non-surgically induced (ablation or myectomy) bradyarrhythmia idiopathic pericardial effusion in adult has not been previously reported....

Macrophages undergo profound metabolic reprogramming to join key immunoregulatory functions, which can be initiated by pattern recognition receptors. TREM2 (triggering receptor expressed on myeloid cells 2), a macrophage phagocytic receptor, plays pivotal roles in sepsis enhancing bacterial clearance, is associated with regulation of reactive oxygen species (ROS) production. However, how intracellular ROS participate TREM2-mediated bactericidal activity remains unclear. This study was...

Split learning is a simple solution for Vertical Federated Learning (VFL), which has drawn substantial attention in both research and application due to its simplicity efficiency. However, communication efficiency still crucial issue split learning. In this paper, we investigate multiple reduction methods learning, including cut layer size reduction, top-k sparsification, quantization, L1 regularization. Through analysis of the further propose randomized make model generalize converge...

The rapid increase in the number of cars has caused many problems such as "cruising for parking" and "parking illegally". Demand-driven dynamic parking pricing mechanism is an effective method to dynamically regulate demand, thus reducing problems. In this research, we conducted a large on-street surveys business districts Beijing. A location choice model decision rules cruising process were established. multi-agent based simulation was constructed explore effect time-varying price on...

Bionic reasoning is a significant process in product biologically inspired design (BID), which designers search for creatures and products that are matched design. Several studies have tried to assist bionic reasoning, but there still limits. Designers’ thinking BID vague, lack of fuzzy semantic methods at the sentence level. This study tries designers’ BID. First, experiments were conducted determine designer’s top-down bottom-up processes. mapping relationships, including affective...

Abstract Background Ovarian cancer (OC) is the most malignant tumor with worst prognosis in female reproductive system. Mitophagy and long non-coding RNAs (lncRNAs) play pivotal roles tumorigenesis, development, drug resistance. The effects of mitophagy-related lncRNAs on OC therapeutic response remain unelucidated. Methods We retrieved OC-related RNA sequence, copy number variation, somatic mutation, clinicopathological information from Cancer Genome Atlas database gene sets Reactome...

Most existing federated learning algorithms are based on the vanilla FedAvg scheme. However, with increase of data complexity and number model parameters, amount communication traffic iteration rounds for training such increases significantly, especially in non-independently homogeneously distributed scenarios, where they do not achieve satisfactory performance. In this work, we propose FedND: noise distillation. The main idea is to use knowledge distillation optimize process. client, a...

Human neutrophil peptides 1-3 (HNP1-3), also known as human α-defensins, are the most abundant granule proteins. The genes that encode HNP1-3, DEFA1/DEFA3, exhibit extensive copy number variations, which correlate well with their protein levels. and mouse studies have shown increased numbers of DEFA1/DEFA3 worsen sepsis outcomes. Additionally, high concentrations HNP1-3 in body fluids been reported patients sepsis. However, direct evidence for pathogenic role proteins during progression is...

This research focuses on the renovation of historical buildings Zhuyangxin Plaster Store, Hangzhou, China. By following three architectural design strategies, namely protecting surrounding environment, rejuvenating commercial and cultural function recovering original appearance, are to be retrofitted achieve a sustainable regeneration. Meanwhile, based an on-site investigation into present residential environment buildings, suitable technologies improve analyzed from aspects envelop,...

Considering the characteristics of mesh reflector antenna, two adjusting methodologies are proposed in this paper. One is to search for highest precision whilst satisfying nonlinear constrains, such as eigen frequency, material strength and sides by finding optimum cables' increment. The other minimum cable numbers same constraints above out kinds variables, i.e., number cables increment length. Obviously latter a programming problem with objectives both continuous discrete design variables....

The emergence of ChatGPT marks the arrival large language model (LLM) era. While LLMs demonstrate their power in a variety fields, they also raise serious privacy concerns as users' queries are sent to provider. On other side, deploying LLM on user's device will leak all data. Existing methods based secure multiparty computation (MPC) managed protect both parameters and user queries. However, require gigabytes data transfer several minutes generate just one token, making them impractical for...

<title>Abstract</title> <bold>Background:</bold>Interstitial lung disease (ILD) is a severe complication of juvenile dermatomyositis (JDM). Therefore, early involvement identification essential. Radiomics new image analysis technique and might offer valuable information for the diagnosis interstitial in (JDM-ILD) <bold>Methods</bold>: We retrospectively analyzed clinical data 56 children with JDM, all participants gave written informed consent. These were divided into JDM group (n = 32)...

In order to help the digital grid and other typical scenarios be implemented promote transformation of marketing, Smart Grid Center has created an energy Internet marketing service system. With development system business, demand for voice calls using mobile handheld communicate with electricity consumers gradually increased. This paper uses AI technology, automatic call distribution, intelligent routing technologies build a set platform features such as flexible deployment, coverage demand,...

One key method to ensure the proper functioning of power transmission system is detection defects in line hardware. The utilization deep learning technology analyze hardware photos captured by drones has emerged as a significant technique inspections. However, current techniques still exhibit limitations terms recognition accuracy. To address this issue, paper presents YOLOv5-based algorithm for detecting hardware, named SBD-YOLOv5, derived from initials its three improvement methods....

Visual perception is the foundation of children's learning and cognitive development. Abnormal visual one typical symptoms children with autism spectrum disorder (ASD). They urgently need early diagnosis regular assessment to develop appropriate intervention strategies. However, there a serious contradiction between rapidly increasing demand for limited supply professional assessment. As convenient effective supplement, computer-aided methods have become development trend ASD This article...